{"title":"Surface Feature Extraction on the Basis of Object-oriented Remote Sensing Classification Methods in Manas River Basin","authors":"Wang Ling, Su Jian-an, Guo Peng","doi":"10.3991/IJOE.V10I6.4021","DOIUrl":null,"url":null,"abstract":"Remote-sensing (RS) images were extracted by using object-oriented remote sensing classification methods. This study combines RS and Geographic Information System to conduct multilevel segmentation and classify of the remote sensing image of Manas watershed. The e-Cognition system was selected to define the knowledge base following the classification system. The results show that the overall nicety of grading can reach 97.37% and that the Kappa coefficient is 0.9706. These results show that land use can be described and extracted by using high spatial resolution remote-sensing images.","PeriodicalId":14375,"journal":{"name":"International Journal of Online Engineering","volume":"93 1","pages":"63-67"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Online Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/IJOE.V10I6.4021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Remote-sensing (RS) images were extracted by using object-oriented remote sensing classification methods. This study combines RS and Geographic Information System to conduct multilevel segmentation and classify of the remote sensing image of Manas watershed. The e-Cognition system was selected to define the knowledge base following the classification system. The results show that the overall nicety of grading can reach 97.37% and that the Kappa coefficient is 0.9706. These results show that land use can be described and extracted by using high spatial resolution remote-sensing images.
期刊介绍：
We would like to inform you, that iJOE, the ''International Journal of Online Engineering'' will accept now also papers in the field of Biomedical Engineering and e-Health''. iJOE will therefore be published from January 2019 as the ''International Journal of Online and Biomedical Engineering''. The objective of the journal is to publish and discuss fundamentals, applications and experiences in the fields of Online Engineering (remote engineering, virtual instrumentation and online simulations, etc) and Biomedical Engineering/e-Health. The use of cyber-physical systems, virtual and remote controlled devices and remote laboratories are the directions for advanced teleworking/e-working environments. In general, online engineering is a future trend in engineering and science. Due to the growing complexity of engineering tasks, more and more specialized and expensive equipment as well as software tools and simulators, shortage of highly qualified staff, and the demands of globalization and collaboration activities, it become essential to utilize cyber cloud technologies to maximize the use of engineering resources. Online engineering is the way to address these issues. Considering these, one focus of the International Journal of Online and Biomedical Engineering is to provide a platform to publish fundamentals, applications and experiences in the field of Online Engineering, for example: Remote Engineering Internet of Things Cyber-physical Systems Digital Twins Industry 4.0 Virtual Instrumentation. An important application field of online engineering tools and principles are Biomedical Engineering / e-Health. Topics we are interested to publish are: Automation Technology for Medical Applications Big Data in Medicine Biomedical Devices Biosensors Biosignal Processing Clinical Informatics Computational Neuroscience Computer-Aided Surgery.
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